The prediction of log information from seismic data plays an important role in the characterization of oil and gas reservoirs because log information can be used in such applications as lithology discrimination, porosity estimation, fluid identification, and drilling hazard assessment.

In this paper we present a two-step approach to predict log information from seismic data. Our methodology combines the strengths of two key technologies. In the first step nonlinear waveform gather inversion is used to estimate VP, VS, and density from the full seismic gathers. This estimation is useful in areas with little or no well...